In this paper, MIL-53(Al) was synthesized by solvothermal method and its application as an adsorbent to remove rhodamine B from aqueous solution. The material was characterized using X-ray diffraction, Fourier-transform infrared spectroscopy, nitrogen adsorption-desorption isotherms, and scanning electron microscopy. The results show that the material has a large specific surface area (1028.3 m2/g). The rhodamine B adsorption on MIL-53(Al) occurs very quickly in the first minutes of contact. Two pseudo-first order and pseudo-second order adsorption kinetic models, and two adsorption isotherm models, including Langmuir and Freundlich, were used to analyze the adsorption data.

Abstract: Urban agriculture is a highly concerned issue during the period of rapid urbanization in Vietnam. Research aims to propose a cultivation process for cultivating oyster mushrooms, utilizing coffee grounds from coffee businesses as a resource. This approach promotes circular economy principles, generating economic benefits for households while protecting the environment and being suitable for urban areas. The study conducted experiments on grey oyster mushrooms using different mixtures of coffee grounds and rubber wood sawdust at the following ratios: 0%, 25%, 50%, 75%, and 100% coffee grounds/rubber wood sawdust, filled into bags with a weight of 1.2kg. The research results showed that disease infection rates were mild in the 0% and 25% mixture ratios, while the remaining ratios exhibited moderate to severe infection levels. The highest mushroom yield was observed in the mixture ratio of 25% coffee grounds, with an average number of mushroom ears per bag reaching 29.7grams/bag, the dry weight is 63.8 grams/bag, with an average size ranging from 3 to 14 cm and a moisture content of 79.5%. The fastest colonization speed on the substrate is achieved by 25%, 50% coffee grounds blend, which fully colonizes the bag in a period of 25 to 35 days, the shortest time compared to the 75% and 100% coffee grounds blends, which take 40 to 45 days. The experimental results show that the 25% coffee grounds: 75% rubber sawdust blend is suitable for urban mushroom cultivation models and can be expanded on a large-scale farm, contributing to minimizing environmental pollution, utilizing limited urban land area, and providing high economic efficiency.

Currently, to make human life more convenient and easier, many utility services have been provided. Among them, online food ordering applications with high coverage and diverse forms become prominent. This research aims to examine the factors influencing the intention of using online food ordering applications among students in Ho Chi Minh City. Using a multivariate linear regression model and the Ordinary Least Squares method (OLS), the research team analyzed primary data based on 120 valid survey sheets collected from students studying in HCMC. The research results indicate that there are seven factors influencing the intention to use (ITU) online food ordering applications, including: (1) Ease of use (EOU), (2) Convenience (CV), (3) Aesthetic appeal (AA), (4) Price expectations (PE), (5) Social influence (SI), (6) Perceived risk (PR), and (7) Habits (HB). Among them, the three factors with the greatest impact on the students’ intention are ease of use, aesthetic appeal, and social influence. Based on the test results, the study proposes a management implication to help food delivery service providers enhance service quality, suggest development directions, and make suitable strategies for potential target customers. Keywords: food delivery service providers, food ordering applications, management implication, students’ intention

In recent times, there has been a rapid surge in the advancement of technologies associated with Unmanned Aerial Vehicles (UAVs), particularly in the domains of sensors, networking, and processing. Consequently, substantial investments from both governments and industries have been directed towards the exploration of UAVs, aiming to enhance their performance for secure and dependable deployments. The evolution of design methodologies and the exploration of UAV systems have transitioned from single UAV applications to encompass multi-UAVs and cooperative UAV systems. These systems necessitate a heightened level of coordination and collaboration to execute tasks, demanding innovative networking models, approaches, and mechanisms tailored for highly mobile nodes, encompassing numerous intricate parameters and constraints. The present paper provides comprehensive insights and conducts a meticulous examination of UAV communication protocols, networking systems, architectures, and applications. Furthermore, it delves into UAV solutions while underscoring critical technical challenges and unresolved research issues that warrant further investigation and dedicated research and development endeavors. In this paper, we study some problems and solutions for The Command and Control (C2) aspect of UAV communication systems. We also give some directions for research in near future.

Industrial robots have become one of the effective support tools for human labor. Robots are a solution to replace humans in repetitive tasks and in environments where humans cannot work. Robots have become one of the factors responding to the Industrial Revolution 4.0. Automatic control devices require high-precision control quality. Therefore, in this paper, we focus on researching controlling the position of the actuator accurately based on the PID algorithm. First, we study the forward and inverse kinematics of a three-joint robot. Second, we design the robot model on inventor software and transfer the 3d model in inventor software to Matlab Simmechanics. Third, modeling robot model on Simulink to simulate and evaluate the results achieved

The article presents the disease pattern of inpatients at Pham Ngoc Thach Traditional Medicine Hospital in Lam Dong from 2021 to 2023. The study was conducted using a cross-sectional, retrospective descriptive method, utilizing data from the hospital's medical records system and statistical reports from 2021 stored in the hospital's archives. Information was collected from patient records following predefined selection criteria, encompassing all adequately documented cases during the inpatient treatment period from January 1st, 2021 to August 31st, 2023. The research findings revealed that the group of diseases related to musculoskeletal and connective tissue accounted for the highest proportion at 57.79%, followed by circulatory diseases at 24.18%, and nervous system diseases at 7.75%. Other groups of diseases such as digestive, trauma, and respiratory systems also appeared, albeit with lower proportions. Particularly, rare disease groups like ear and mastoid bone diseases, and skin and subcutaneous tissue diseases were noted. These results provide a comprehensive overview of the disease distribution, supporting decision-making and the development of effective treatment strategies for inpatients in the upcoming period.

This work presents a benchmarking study between Lagamine, an in-house developed finite element (FE) code, and COMSOL Multiphysics® (Comsol) commercial software in thermal analyses to investigate their capability in modeling complex manufacturing processes. For this purpose, two case studies, including a NAFEMS benchmark for heat transfer with convection and a Directed Energy Deposition (DED) of a bulk sample, were used as test cases. The simulation models using Lagamine and Comsol solvers for each case were described. The underlying algorithms and theories, as well as the soft-ware development, are investigated. The computational results indicate slight differ-ences between Lagamine and Comsol solutions in both case studies. For the NAFEMS test case, the results obtained with Comsol solver appear to be less dependent on the mesh size than those obtained with Lagamine. For the DED test case, within the chosen configurations of Lagamine and Comsol codes, the maximum difference in the highest peak temperatures obtained from the two codes is about 20%. From an engineering point of view, it is suggested to determine parameters of the FE model consistently with the selected FE code to provide the best match with experimental observations.

Thu Dau Mot University is one of the main public education institutions in the South-Eastern region of Vietnam. The vision of the university is to adopt innovative teaching methodologies to improve education quality and attract more students. Thu Dau Mot University envisions becoming a smart university as one of its long-term strategies in order to be aligned with the smart city orientation of Binh Duong province. The paper evaluates the potential of buiding Thu Dau Mot university model by SWOT analysis. It’s results will serve as a reference for Thu Dau Mot university’s leaders to identifying where are the strengths, the weakenesses, the opportunities and the threats in their process of smart university development. Finally, the paper has provided recommendations to Thu Dau Mot university for becoming a smart university.

Symbolic images stand for more than simply what appears before the eyes. They represent a deeper meaning behind the image – something. The symbolic images in public communications, and techniques of their application as an instrument of forming desired ideological models within social consciousness, as well as consider principles of social psychology that enable successful application of communication technologies to a target audience by appealing to their image thinking. Applied methods of the research are: sociocultural, historical, and content analysis, this article focuses on analyzing the significance of symbol image in public communication strategies and its impacts on brand building, trust establishment, and fostering a positive interactive environment with the public. Based on lessons drawn from practical public communication activities of Thu Dau Mot University, the article proposes additional measures to enhance the effectiveness of the unit's communication and their potential application to specific cases, contributing to the development of the field of public communication.

Satisfaction has been the central research area in consumer behavior. Particularly in tourism, satisfying tourists promises the success of destinations. Tourists are now seeking for premier experiences at destinations which requires more distinctive tourism products and excellent service quality. Monitoring tourist satisfaction has become more crucial than ever so as for destination managers and stakeholders to plan appropriate strategic development. The study clarifies the concept of visitor satisfaction and how satisfaction is measured in academic practice. This article review, synthesis, and analysis secondary data from previous academic studies. The article begins by providing satisfaction definition, followed by the benefits of achieving customer satisfaction, and finally, the commonly adopted approaches to measure tourist satisfaction is provided. The study focuses on those approaches proposed before the development of internet which data collection process is mainly based on survey. Both merits and demerits of each approach are also discussed.

FACTORS AFFECTING ENGLISH SCORES AT NATIONAL HIGH SCHOOL EXAM OF SOPHOMORES AT THU DAU MOT UNIVERSITY: EMPIRICAL EVIDENCES FROM GLS METHOD

Through analysis of the DPSIR model, combined with research methods such as field surveys, and survey questionnaires, the author has given the following results: The amount of waste is increasing; Not paying attention to the classification at source, Solid waste collection is still limited; Environmental quality is degraded due to the stench caused by domestic waste in some neighborhoods; The soil environment is polluted due to solid waste treatment that is difficult to decompose; Surface water and groundwater are also leaked due to leachate, wastewater from landfills; The polluted environment has, directly and indirectly, affected the health and production and business activities of the people in the ward, degraded the ecosystem, and lost the urban beauty. The author has proposed solutions to reduce environmental pollution caused by domestic waste such as population policy, establishing collection groups, craft village planning, and applying the circular green model in economic development.

Enzymes are biodegradable catalysts naturally present in living organisms. Enzymes can accelerate biochemical reactions by reducing the activation energy, and they are not consumed during reaction processes. Numerous applications of enzymes have been developed in biotechnology, industry, medicine, pharmaceuticals, food processing, biofuels, and so on. In this study, we develop a mathematical model describing enzymatic reactions with a Ping-Pong mechanism and competitive substrate inhibition. In order to obtain insights into the model behaviors, we use Python software to obtain numerical solutions for the model. Some discussions on the numerical results is provided. Finally, we briefly discuss a potential application of the model and some future work.

This study deals with the stiffness design of geometrically nonlinear structures using topology optimization. Bi-directional Evolutionary Structures Optimization (BESO) is employed to implement the design process. The geometrically nonlinear behavior of the structures are modeled using a total Lagrangian finite element formulation and the equilibrium is found using a Newton-Raphson iterative scheme. The topology optimization of linear and nonlinear modeling are implemented. The sensitivity of the objective function is found with the adjoint method and the optimization problem is solved using BESO’s update method. Objective function of complementary work is evaluated. A special technique called the continuation method is applied to solve the instability of nonlinear structure optimization. ANSYS APDL is also used to do FEA of optimal topology to verify the effectiveness of geometrically nonlinear modelling. The results show that differences in stiffness of structures optimized using linear and nonlinear modelling is generally small but it can be large in some cases, especially structure highly involving buckling behaviour.

In recent years, society has been evolving rapidly, and contemporary education is being adapted to satisfy people's requirements in accordance with 4.0 trends and the industrial revolution.This gives birth to the definition of Smart University, the study of which seeks to identify the required components for constructing a smart learning environment. The research group analysed nationally and internationally advanced models, proposing a smart university model for Thu Dau Mot University (T-SMARTHS) with smart levels matching the phases established and developed at Thu Dau Mot University.

It is very common to stabilize the preset value (Wanted value) of analog signals such as temperature, pressure, weight, flow, speed in automatic control. However, these control objects often have some problems such as overshooting, taking a long time to bring the system to a steady value, and large errors. One of the most used systems to overcome these problems is the PID, which is a preset stabilizing system with a quick function that returns the system to the set value in a short time without overshooting. error is close to zero. However, determining the scale parameters Ki, integral Kp, and differential Kd for the system to work optimally is a problem that needs to be studied. This paper presents how to accurately determine differential, integral, and scale coefficients according to 3D virtual reality model. Used a lot in simulation modeling for training and practical applications.

In Vietnam, deviant behaviour in adolescents is increasingly popular and gradually becomes a major concern of the whole society. The purpose of this study is to identify Factors affecting deviant behavior of Vietnamese adolescents, including: Nature of adolescence (Biology, Intelligence and Cognitive functions) and Nurture (Family atmosphere, Education environment, Media and technology, Peer Pressure, and Religion and Politics). 426 survey samples were collected to serve the data analysis process as well as all hypotheses were examined by using STATISTIC 10 ver., LISREL 8.8 with Covariance Matrix, and LISREL model. This research showed that Nature of adolescence, Family atmosphere, Education environment, Social media and technology, Peer pressure have significant influence on deviant behavior of adolescents in Vietnam. The research also indicated that deviant behavior of Vietnamese adolescents is not affected by Religion and politics. The study also makes suggestions to improve morality and foster personality for adolescents in Vietnam, makes a small contribution to the country's further development.

With the fast growth of the COVID-19 pandemic, in-silico studies based on the susceptible-infected-removed (SIR) epidemiological model are very critical to provide reliable predictions of the COVID-19 evolution that can effectively support governments to issue the right measures to prevent and control the pandemic. In this study, the evolution of the COVID-19 in the Binh Duong province is investigated using the SIR model implemented in R-Studio software, in which the homemade computer codes based on the SIR model are developed using R language to automatically detect the optimal parameters in the model, including the reproduction ratio R0, the infection coefficient β, and the recovery coefficient γ. The SIR predictions indicate that the number of new positive cases per day in the Binh Duong province is only 40 new cases by November 30, 2021, and the total number of new cases per day becomes zero by middle February 2021. Besides, the Binh Duong province only has 1126 infected cases by November 30, 2021, which reduces to 203 cases at the end of December 2021. Through the SIR results, the COVID-19 pandemic in the Binh Duong is predicted to be ended at the end of December 2021.

Automation or automatic control has been a growing trend in industrial fields as well as in life because of the advantages and utilities that help optimize work and reduce manpower in production. In medium and large scale automatic control systems, PLC (Programmable Logic Controller) is used as the control device for the system. In production, the transmission system using motors takes a large proportion and the problem of controlling for them to operate correctly, meeting technological requirements is one of the difficulties that need to be solved. In this study, we have applied PLC to stabilize motor speed according to preset value using PID algorithm integrated in Siemens S7–1200 PLC in order to apply research results in practice. At the limit of the article, we will present the issues of PID function block configuration, programming algorithm flowchart for PLCs, and monitoring console design for a small DC motor drive system model to verify.

With the development of information technology, many applications of robots are increasingly being applied to support research, learning, and teaching. This paper mainly investigates the modeling and simulation of a robotic arm with 3 degrees of freedom (dofs) for different applications. First, Kinematics and dynamics model of the robot based on the standard Denavit Hartenberg (D-H) modeling method, where the forward kinematics of robot is analyzed and computed to obtain by using the inverse kinematics, and then the solution of the robot dynamics is derived. Second, a CAD model of the robot is designed on CATIA software to convert to MapleSim software to simulation and control. Final, numerical simulation is presented to display results. This work provides a potential basis for the realization of the robotic arm in the industrial, education, and research field, which is of great significance for improving manufacturing efficiency and support teaching and research in the robot field.

Most of the indoor accidents are related with fall down. Many medical studies are point out that key factor for keeping patient’s life is fast response of monitoring system. In modern life, peoples are isolated with neighbor, especially in living quarters. Therefore many solutions are developed for falling down monitoring that base on wearable sensors. These methods require of an expensive sensors system with electric power supplier and telecommunication devices. In context of patients with disease and weak status, patients are trend to remove sensor system. This issue requires to find out another approach so that sensors system will not be needed. We study the fall detection by monitoring camera. For increase the accuracy, we proposed a simple and effective method to extract features of abnormal activities. By tracking the magnitude of entropy and its distribution, our fall detection model has a capability of differentiating falls from other activities

Activity recognition is one of the preliminary steps in designing and implementing assistive services in smart homes. Such services help identify abnormality or automate events generated while occupants do as well as intend to do their desired Activities of Daily Living (ADLs) inside a smart home environment. However, most existing systems are applied for single-resident homes. Multiple people living together create additional complexity in modeling numbers of overlapping and concurrent activities. In this paper, we introduce a hybrid mechanism between ontology-based and unsupervised machine learning strategies in creating activity models used for activity recognition in the context of multi-resident homes. Comparing to related data-driven approaches, the proposed technique is technically and practically scalable to real-world scenarios due to fast training time and easy implementation. An average activity recognition rate of 95.83% on CASAS Spring dataset was achieved and the average recognition run time per operation was measured as 12.86 mili-seconds.

Corrosion of the bottom of the petroleum tank may lead to a product leak that could cause a fire or explosion resulting in damage to people and the environment, therefore the test of tank bottom corrosion is necessary to be conducted periodically to prevent the occurrence of the above problems. In non-destructive inspection, the Magnetic Flux Leakage (MFL) method relies on the variation of fluxes caused by defects on the surface of materials to detect corrosion, pitting, or imperfections, which is proved quite effectively with low cost. The project was implemented to develop a prototype of the MFL bottom detection device based on the research results in the world to improve corrosion survey capacity in industrial equipment, as well as to improve the expertise in the Research Team of electronics and automation in the fields of magnetic fields and sensors. As a result, an MFL model using permanent magnets and Hall sensors were fabricated. Survey experiments showed that the machine could detect corrosion defects up to 20% of steel wall thickness in the scanning speed range from 500 mm/s to 1130 mm/s. However, to meet the actual survey needs, the team must continue to improve the device in terms of sensitivity, scanning speed, the ability to operate automatically or semi-automatically, and register for a fire safety inspection.

The paper presents general theory about making small models for studying large machines. Here, the author refers to the design of pile driving and pressing machines. To express ideas, the author presents design drawings presented in three-dimensional perspective. Currently, pile drivers and pile presses are two separate machines, in which their base machine is the same, their working parts are slightly different. The author takes advantage of the slight differences to combine them into one machine, so as to ensure that this machine is able to pile or pile. In addition, the structure of pile making and pressing machines is created by the author, which is somewhat simpler than the current construction and driving machine. This successful study will form the basis for manufacturing a pile driving machine and pile machine into a single machine, greatly reducing the costs of procurement and construction machine use.